SEEKING WORK | UK | Remote preferred | Data scientist | Instructor/trainer
I'm a data scientist and educator with a background in software and web development. Having worked a variety of technical roles, I've realised my two passions are: investigating the value contained in data by rapid prototyping (building proofs-of-concept to iterate ideas), and teaching people the value of having some level of technical skill. In the last couple of years I've been developing and delivering bespoke training programmes in Python and data analysis for enterprise clients (anything from half-day sessions, to weekly bootcamps all the way to 10 week part-time courses).
I'm looking for either a short-term contract (6 months max.) or a longer-term flexible freelance relationship. Remote preferred, but hybrid with occasional on-site (London or Midlands) is a possibility. I'm open to job descriptions beyond "data scientist", since my goal is to actually add value to an organisation through contracting/consulting.
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Services
· Data science: analysis with the Python data science toolkit, building machine learning models, rapid prototyping to test ideas at an early stage
· Training: development and delivery of bespoke training for both junior/experienced analysts and also non-technical teams. Topics: programming in Python, data science (analysis, visualisation, BI tools), machine learning
Languages/skillset:
Python, SQL, BI tools (Tableau, Power BI, even years of Crystal Reports), and web dev stack (HTML, CSS, JS, C#, ASP.NET MVC)
Agreed, the engineering side is where valuable growth is/will be. Also from the limited sample I know of (people I know who are hiring managers) the candidate pool for data scientists lacks people with genuine analytical ability. Training models is easy, thinking the right way about data is hard.
You say "I've enjoyed them much more than the machine learning I've done". I actually find the machine learning the LEAST interesting thing about a data science career in the sense that it's just another tool in your DS toolbox to solve open-ended problems that no one has properly tackled before. It sits in the same box as bar charts, web scraping, asking better questions etc. and you can do valuable work with a variety of approaches, not all of them machine learning. Not sure exactly what part of data science you feel you don't enjoy, and it sounds like you DO enjoy a variety of technical disciplines, but I was just curious whether you wholly equate data science with machine learning.
What about paying for Google services? I do worry about my dependency on the GSuite, perhaps being a paid customer is the way to secure yourself a bit. Looks like the lowest paid tier is £15 a year, I should probably pay that!
I'll second this. Switching from browsing news sites daily to just reading The Economist (in print, not online) has made me feel no less well-informed, if sometimes a few days out of date, but much less stressed about "keeping on top of the news", which is a losing game.
http://www.pythonchallenge.com/